926 to 950 of 1,051 Machine Learning Jobs in the UK

systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego’s infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights … Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity ...

do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across product, commercial and operations through experimentation, causal inference and machine learning. From optimising rider dispatch to personalising customer journeys and forecasting demand at scale, we turn complex data into measurable business impact. We’re looking … Engineering (Tech Leadership Team) About Our Analytics Organisation We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision‐making. We work throughout the company, in product, business and platform teams and are uniquely placed to use data to help make better ...

across API led, event driven and microservices patterns Guide teams on data architecture, domain models, data flows and data contracts See opportunities where AI, ML or GenAI can bring meaningful improvements to optimization, automation or insight generation Partner with senior business and technology interested parties to translate business needs into … engineering teams Desirable criteria: Proven experience in oil trading or biofuels compliance Exposure to optimization or compliance driven environments Practical experience with AI, ML or GenAI Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened ...

process mapping, stakeholder management, and benefits analysis. Proven ability to translate business challenges into technical AI requirements. Technical Skills Working understanding of AI/ML concepts (e.g., LLMs, supervised/unsupervised learning, vector databases, prompt engineering, model evaluation). Ability to interpret technical designs, data schemas, and integration patterns. … agile delivery methodologies. Comfortable coordinating across internal stakeholders, technology teams, and external partners. General Background 8-10 years' experience in business analysis, AI/ML project coordination, consulting, technology, or innovation roles. Experience in financial services, pensions, investment management, or regulated industries. Experience in regulated sectors (pensions, financial services). ...

customer feedback. What You Bring Your curiosity lets you ask what if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

analytics/reporting environments (Power BI, Adobe Customer Journey Analytics, etc.). Work with the AI Team to identify opportunities to embed AI and ML capabilities across the Marketing stack (e.g., enrichment, workflow automation, routing logic, data cleansing). Partner with IT, Data, Infrastructure, and InfoSec teams to ensure marketing … connectivity. Familiarity with modern marketing technology stacks (CDPs, attribution models, reporting platforms, events/webinar platforms). Exposure to AI capabilities, automation workflows, or ML-enhanced processes preferred. Ability to interpret technical requirements and translate them into scalable workflows. Strong communication skills and comfort working across functional teams, particularly with ...

in a fast-paced R&D environment Excellent communication skills to articulate technical issues and blockers clearly Desirable Skills: Experience with AI/ML tools, LLMs, speech services, RAG systems, or AI APIs Experience with Unreal Engine, Unity, or other real-time 3D development environments Familiarity with Docker, FastAPI ...

technical discipline Technical knowledge in data centers design and construction, specifically POD-level architecture and modular design, high-density compute environments (AI/ML workloads) and/or liquid cooling architectures Project Management Experience: Experience with Product Design or Product Management with a working knowledge of Agile/Scrum … edge DMAIC experience for process improvement and drive for excellence Experience delivering POD-level architecture and modular design High-density compute environments (AI/ML workloads) and cross-domain system integration (cooling, power, structural) Proven ability to author whitepapers and thought leadership and lead system-level design trade-off discussions ...

/Python; Automation and containerisation; Solution based mindset; DevOps culture; Python; Apache Kafka; Kubernetes; Docker; CICD; Secure development in air gapped environments; AI/ML model integration experience. Role scope Primary focus : Is this role mainly hands-on engineering (CI/CD, Kubernetes, automation), or does it lean more towards … security element (e.g. security tooling, compliance requirements, air-gapped constraints)? Compliance requirements, air-gapped constraints, ITAR and special access compartment considerations. AI/ML integration : Is this a core requirement or more of a nice-to-have? Core Clearance For SC clearance: is any active SC acceptable, or is there ...

contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability … contribute to peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

platform to support the next generation of 5G and 6G networks while expanding into exciting areas such as fraud detection, network intelligence and machine learning-powered services. While historically this team focused heavily on C++, they are now actively seeking exceptional software engineers from C++, Java ...

forward-thinking AI company is looking for a Research Engineer in Greater London. The role involves supporting researchers with large-scale ML pipelines, integrating cutting-edge research with production, and designing ML algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant … experience, particularly in deep learning and NLP, are encouraged to apply. The position offers competitive salary, equity, and hybrid working options. #J-18808-Ljbffr ...

collaboration with senior leadership and engineering * Real ownership across the full model lifecycle What you'll be doing: * Design, build, and deploy AI/ML models powering core product features * Work across use cases such as document processing, anomaly detection, and intelligent automation * Own the end to end model lifecycle … integrate models into live systems * Help shape the AI roadmap, identifying high-impact opportunities * Continuously evaluate and apply relevant advancements in AI/ML What you'll bring: * Proven experience building and deploying AI/ML models in production * Strong Python skills and experience with modern ML frameworks (e.g. PyTorch ...

solution providers where appropriate. Data, Performance & GovernanceOwn ecommerce performance reporting, analytics, and KPIs to support informed commercial decision making.Establish a culture of testing, learning, and continuous optimisation across the ecommerce function.Ensure digital and AI initiatives adhere to appropriate governance, privacy, security, and ethical standards.Monitor market trends, emerging technologies … translate commercial goals into actionable AI and digital strategies.Exceptional cross-functional collaboration and communication skills.PreferredExperience working with bespoke or complex ecommerce platforms.Familiarity with LLMs, ML models, recommendation engines, or automation frameworks.Previous involvement in large-scale digital transformation programmes.Experience leading multidisciplinary teams across commercial and technical domains What we'll give ...

looking for Experience with data-heavy applications, whether that’s ETL/ELT pipelines, data lakes, or working alongside data science and ML teams. Confidence working across multiple teams and stakeholders, turning business problems into well-defined technical solutions. Knowledge of Vertex AI or GCP's broader AI/ML ...

tooling - Cursor, Claude Code etc) - A business impact, delivering focussed mindset - Experience operating at an engineering leadership or director level - Demonstrable thirst for learning across both business and technology This Engineering Director near Nottingham will receive: - Starting salary of up £135,000 - Bonus scheme - Equity - Long term hybrid working … fully autonomous, high successful scale up then please apply now for further details. Engineering Director Nottingham(hybrid) Engineering director, headless architecture, AI, ML, product, engineering, master data management ...

critical Legacy transformation initiatives. You must be comfortable translating high-level architectural direction into deliverable agile sprint work while fostering a culture of continuous learning and skills transfer. Key Responsibilities Architectural Leadership: Define, own, and communicate solution architectures for new and evolving digital services, producing clear Architecture Decision Records … upwards of 50 million records). Emerging Technologies: Awareness of emerging technologies and how they apply to public sector delivery, such as AI/ML on AWS, digital identity (eIDAS), or biometrics. Professional Certifications: Recognised architecture certifications, such as TOGAF or AWS Certified Solutions Architect Professional. Tech Stack Familiarity: Practical ...

strategic bids (cloud, data, AI, automation). Translate business and outcome requirements into clear, integrated technical blueprints. Define architecture vision across AI/ML platforms, analytics, automation, integration and security. Balance innovation with cost, risk, and delivery feasibility. Bid & Pursuit Engagement Act as the technical design authority across bid cycles. … into mobilisation teams post-award, ensuring architecture continuity. Required Skills & Experience Proven experience designing large-scale digital transformation solutions. Deep knowledge of AI/ML , data platforms, analytics, automation and cloud architectures. Strong experience with AWS/Azure , APIs, microservices, integration and event-driven systems. Proven track record leading solution ...

meaningful competency on the platform and can independently position, demo, and sell core use cases (e.g., cluster lifecycle management, multi‐cluster governance, AI/ML infrastructure, sovereign Kubernetes Cross‐Functional Collaboration Serve as the primary regional liaison between EMEA partners and internal product, marketing, solutions engineering, and legal/finance … verticals such as financial services, telecom, public sector/sovereign, manufacturing, or Preferred Background in Kubernetes, cloud‐native infrastructure, DevOps platforms, or AI/ML infrastructure in a technical sales, solutions engineering, or alliances Experience building co‐sell partnerships with major infrastructure OEMs Prior work with sovereign cloud or regulated ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer)In just over 5 years ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full Stack ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client's ...

.NET Developer - Fastest Growing Social Media Firm - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...